Supriya Pai
Impact in
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Biomedical Engineering top 5%
- Biosensors and Analytical Detection
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- RNA Interference and Gene Delivery 4
- DNA and Nucleic Acid Chemistry 2
- Protein purification and stability 1
- Ecology 2
- Bacteriophages and microbial interactions 2
- Co-authors
- Andrew D. Ellington (5 shared papers)Anthony D. Keefe (2 shared papers)Keith E. Maier (1 shared paper)David Soriano del Amo (1 shared paper)Felipe Opazo (1 shared paper)Silvio O. Rizzoli (1 shared paper)Amy Yan (1 shared paper)Matthew Levy (1 shared paper)
- Journals
- Nature Reviews Drug Discovery (2 papers)Molecular Therapy — Nucleic Acids (1 paper)Methods in molecular biology (1 paper)Expert Opinion on Medical Diagnostics (1 paper)Chemistry & Biology (1 paper)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Supriya Pai
6 papers receiving 2.0k citations
Supriya Pai's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.8k
- Biomedical Engineering 520
- Biomaterials 129
- Radiology, Nuclear Medicine and Imaging 155
- Immunology 122
Countries citing papers authored by Supriya Pai
This map shows the geographic impact of Supriya Pai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Supriya Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Pai more than expected).
Fields of papers citing papers by Supriya Pai
This network shows the impact of papers produced by Supriya Pai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Supriya Pai. The network helps show where Supriya Pai may publish in the future.
Co-authors
The 22 scholars most cited alongside Supriya Pai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Aptamers as therapeutics Hit paper breakdown → | 2010 | 1811 |
| 2 | 2012 | 123 | |
| 3 | 2012 | 111 | |
| 4 | 2008 | 21 | |
| 5 | 2010 | 16 | |
| 6 | 2008 | 6 |
About Supriya Pai
Supriya Pai is a scholar working on Molecular Biology, Ecology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Infectious Diseases, having authored 6 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), RNA Interference and Gene Delivery (4 papers), Bacteriophages and microbial interactions (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Protein purification and stability (1 paper), Biosensors and Analytical Detection (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Biomedical Engineering (520 citations), Biomaterials (129 citations), Radiology, Nuclear Medicine and Imaging (155 citations) and Immunology (122 citations). Supriya Pai has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Andrew D. Ellington, Anthony D. Keefe, Keith E. Maier, David Soriano del Amo, Felipe Opazo, Silvio O. Rizzoli, Amy Yan, Matthew Levy, Samantha E. Wilner and Maria de Lourdes Borba Magalhães. Their work appears in journals such as Nature Reviews Drug Discovery, Molecular Therapy — Nucleic Acids, Methods in molecular biology, Expert Opinion on Medical Diagnostics and Chemistry & Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.